Senior AI/ML Data Scientist

16 hours ago

San Francisco, California, United States Unreal Gigs Full time
Job Title: Senior AI/ML Data Scientist

At Unreal Gigs, we're pushing the boundaries of artificial intelligence and machine learning innovation. We're seeking a seasoned Senior AI/ML Data Scientist to join our dynamic team and contribute to the development and deployment of advanced AI and ML models.

Key Responsibilities:
  1. Data Exploration and Preprocessing: Explore and preprocess large-scale datasets to identify patterns, anomalies, and insights that inform model development.
  2. Model Development: Develop and implement advanced AI and ML models to solve complex business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning.
  3. Feature Engineering: Engineer features from raw data to enhance model performance and predictive accuracy, leveraging domain knowledge and data analysis techniques.
  4. Model Evaluation and Validation: Evaluate and validate model performance using appropriate metrics and validation techniques, ensuring robustness, reliability, and generalization.
  5. Hyperparameter Tuning: Optimize model hyperparameters and configurations using techniques such as grid search, random search, and Bayesian optimization to maximize performance.
  6. Model Interpretability: Interpret and explain model predictions and behavior to stakeholders, providing insights and actionable recommendations based on model outputs.
  7. Model Deployment: Deploy AI and ML models into production environments, integrating with existing systems and platforms to enable real-time inference and decision-making.
  8. Monitoring and Maintenance: Monitor model performance and health over time, implementing monitoring and alerting systems to detect and mitigate issues proactively.
  9. Collaboration: Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to deliver end-to-end AI/ML solutions that meet customer requirements.
  10. Research and Innovation: Stay informed about the latest advancements in AI and ML research and technology, exploring innovative approaches and techniques to enhance model performance and capabilities.
Qualifications:
  • Master's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field. PhD is a plus.
  • 5+ years of experience in data science, with a focus on AI and ML techniques and applications.
  • Proficiency in programming languages such as Python or R, and experience with data science libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and pandas.
  • Strong understanding of AI and ML concepts and algorithms, including supervised learning, unsupervised learning, deep learning, and reinforcement learning.
  • Experience with feature engineering, model evaluation, and hyperparameter tuning techniques.
  • Familiarity with machine learning deployment and productionization, including model deployment frameworks and containerization technologies.
  • Excellent problem-solving skills and analytical thinking, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Benefits:
  • Competitive salary: The industry standard salary for Senior AI/ML Data Scientists typically ranges from $170,000 to $250,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of AI and ML innovation.

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